Link COCO-OLAC, Cityscapes-OLAC, and PEMOLA resources
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README.md
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- occlusion
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- icme-2026
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datasets:
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- weiwb/Cityscapes-OLAC
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Official checkpoints for **[Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention](https://huggingface.co/papers/2607.18112)** (ICME 2026).
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## Download
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- occlusion
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- icme-2026
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datasets:
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- weiwb/COCO-OLAC
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- weiwb/Cityscapes-OLAC
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Official checkpoints for **[Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention](https://huggingface.co/papers/2607.18112)** (ICME 2026).
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## Related resources
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| Resource | What it provides |
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| [COCO-OLAC dataset](https://huggingface.co/datasets/weiwb/COCO-OLAC) | Image-level occlusion annotations for 30,000 COCO training images and 5,000 validation images, including validation subsets by occlusion level. |
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| [Cityscapes-OLAC dataset](https://huggingface.co/datasets/weiwb/Cityscapes-OLAC) | Image-level occlusion annotations for 2,975 Cityscapes training images and 500 validation images, following the same annotation protocol. |
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Both dataset repositories provide additional occlusion annotations. Obtain the original images and segmentation annotations separately from the [official COCO website](https://cocodataset.org/#download) and the [official Cityscapes website](https://www.cityscapes-dataset.com/downloads/).
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## Download
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